Legal text processing is a research area of natural language processing (NLP) specialized for legal texts. The recent development of NLP, which has entered a period of statistical processing, makes it possible to realize advanced intelligent processing. However, research on the legal domain is still a work in progress due to insufficient language resources. The difficulty also comes from requirements of expertise in law, and the feasibility of legal knowledge bases. Thus far, these problems have been discussed in different fields such as NLP, Legal Informatics, and AI and Law. This special session aims to bring together researchers and developers with all these different backgrounds to discuss and exchange new ideas and the latest achievements in legal text processing.

2. Special Session on Intelligent Software and Knowledge Representation (IS-KR2017)

Introduction

Nowadays there are many practical applications in Artificial Intelligence and the Internet. The Intelligent Software have been created to better serve the increasing needs of the people. These kinds of software have been applied in a wide range of areas such as Expert Systems, Intelligent Problems Solver, Decision Support Systems and another Intelligent Systems. Knowledge Representation (KR) and Reasoning are exciting and well-established fields of research in Intelligent Software. KR is key drivers of innovation in computer science. In recent years, KR has also derived challenges from new and emerging fields including the semantic web, computational biology, and the development of software agents.

This special session aims to bring together researchers and developers with all these different backgrounds to discuss and exchange new ideas and the latest achievements in building Intelligent Software and methods for KR.

3. Special Session on Computer Vision and Pattern Recognition (VAPR2017)

Introduction

In conjunction with the 9thInternational Conference on Knowledge and System Engineering Hue, Vietnam, October 19-21th, 2017. We are pleased to announce the Special Sessionon Computer Vision and Pattern Recognition (VAPR2017) to be organized by the Vietnamese Association for Pattern Recognition jointly with the 9th International Conference on Knowledge and System Engineering (KSE2017). This special session serves as an international forum to bring together researchers and experts for sharing their latest research findings and/or experimental results, consolidating potential collaborations, and to advance ongoing research dedicated to multimedia analysis, pattern recognition and related areas.

Topics of Interest

We welcome papers that cover, but are not limited to, one of the following topics:

Big Data and its applications of machine learning is one of the fastest growing areas in the technology industries. It has attracted significant investment and interest from both corporate and academic researchers alike, with many fruitful collaborations. These efforts has resulted in the development of specialized models and techniques for practical applications as well as general advances in machine learning and related areas of computer science.

The Special Session on Machine Learning, Data Mining and Big Data aims to exchange ideas and research in general data mining and machine learning as well as specific domains. We invite original papers which have not been published or under consideration for publication in any other journal or conference.

Topics of interest include, but are not limited to:

o General machine learning and statistical methods.

o Large-scale and heterogeneous data mining.

o Streaming and temporal data analytics.

o Outlier and anomaly detection and description.

o Social media and social data mining.

o Recommendation, ranking and user behavior modeling.

o Applications of data mining in healthcare, transport, finance, media and other domains.

Paper Submission

The authors are invited to submit their full papers by the deadline through the KSE 2017 submission page:

The submissions will be peer-reviewed for originality and scientific quality. The proceedings will be proposed to be published by IEEE and be available at the conference.All papers should be in PDF format and compliant with the IEEE standard as described at IEEE’s website IEEE and should not exceed 6 pages.

5. Special Session on Bioinformatics and Computational Biology (BCB2017)

Introduction

BCB2017 aims at bringing together researchers, students and industrial practitioners for exchange of new developments in all areas of bioinformatics and computational biology. We invite original full papers on any topic related to bioinformatics and computational biology. The submitted papers have not been published or under consideration for publication in any other journal or conference. Topics of interest include, but are not limited to:

· Expression Data Analysis

· Biological Sequence Analysis

· Disease Gene Prioritization

· Protein-Protein Interaction Network

· Gene Regulatory Network

· Statistical Genetics

· Systems Biology

· Computational Proteomics

· Computational Structural Biology

· Large-scale Data Management

· Systems Pharmacology

· Human genomics

· Drug discovery

· Personalized Medicine/Pharmacogenomics

Session Organizers

Duc-Hau Le, Thuyloi University, Vietnam

Sy Vinh Le, University of Engineering and Technology, Vietnam National University Hanoi

Paper Submission

The authors are invited to submit their full papers by the following deadline, through the KSE2017 submission page http://www.easychair.org/conferences/?conf=kse2017. The submissions will be peer-reviewed for originality and scientific quality. The proceedings will be proposed to be published by IEEE and be available at the conference.

All papers should be in PDF format and compliant with the IEEE standard as described at IEEE’s website IEEE templates (http://www.ieee.org/conferences_events/conferences/publishing/templates.html) and should not exceed 6 pages.

KSE 2017 special session on Spatial Data Science and Technology (STATS) serves as a forum for scientific exchanges and technology transfer between researchers, managers and industrial sectors. STATS will focus on advanced developments of spatial data science and technology to address issues related to natural and social worlds. Researchers are welcome to submit papers on theoretical or empirical works, or surveys of recent and future trends in spatial data science and technology. Relevant topics for KSE-STATS 2017 include, but not limited to, the following:

The authors are invited to submit their full papers by the deadline through the KSE 2017 submission page: https://easychair.org/conferences/?conf=kse2017. The submissions will be peer-reviewed for originality and scientific quality. The proceedings will be proposed to be published by IEEE and be available at the conference. All papers should be in PDF format and compliant with the IEEE standard as described at IEEE’s website IEEE and should not exceed 6 pages.